首页|期刊导航|Atmospheric and Oceanic Science Letters|CLKA-LPO:A CNN-LSTM-KAN neural network for lightning potential and flash rate prediction based on atmospheric physical parameters
Atmospheric and Oceanic Science Letters2026,Vol.19Issue(3):P.28-35,8.DOI:10.1016/j.a0sl.2025.100679
CLKA-LPO:A CNN-LSTM-KAN neural network for lightning potential and flash rate prediction based on atmospheric physical parameters
摘要
关键词
Lightning potential prediction/Lightning flash rate prediction/Atmospheric physical parameters/Kolmogorov-arnold(KAN)/CLKA-LPO分类
天文与地球科学引用本文复制引用
Hengyue Chen,Tongtong Xu,Yihan Du,Qiyuan Yin,Yihui Zhu,Zhiyong Luo,Yang Song,Min Xia,Shubin Zhao..CLKA-LPO:A CNN-LSTM-KAN neural network for lightning potential and flash rate prediction based on atmospheric physical parameters[J].Atmospheric and Oceanic Science Letters,2026,19(3):P.28-35,8.基金项目
supported by the National Natural Science Foundation of China[grant number 12202210] ()
the Open Grants of the Key Laboratory of Lightning[grant number 2023KELL-B006] ()
the Startup Foundation for Introducing Talent of Nanjing University of Information Science and Technology[grant number 2022r095] ()
the China Postdoctoral Science Foundation[grant number 2024M751481]。 ()